Genes were assigned to functional categories using gene ontology in the Database for Annotation, Visualization and Integrated Discovery (DAVID) (Dennis et al., 2003). BMDExpress was used to calculate benchmark doses (BMDs) from gene expression data (Yang et al., 2007). Analyses were performed on genes that were identified as statistically significant by one-way ANOVA (p < 0.05) using four models: Hill, Power, Linear and 2° Polynomial. Models that described the data with the least complexity were selected. A nested chi-square

NVP-BKM120 mw test, with cutoff of 0.05, was first used to select among the linear and 2° polynomial model, followed by comparison of Akaike information criterion (AIC), which measured the relative goodness of fit of a statistical model, between nested models and the power model. The model with the lowest AIC was selected as the best fit. A maximum of 250 Dasatinib iterations and a confidence level of 0.95 were selected. For functional classifications and analyses, the resulting BMD datasets were mapped to KEGG pathways

with promiscuous probes removed (probes that mapped to multiple annotated genes). BMDs that exceeded the highest exposure dose (TSC= 90 μg/ml, MSC = 10 μg/ml) were removed from the analysis. Three RT-PCR pathway specific arrays (cell cycle, apoptosis and stress and toxicity) were used to validate the expression of specific microarray genes (SABiosciences, Frederick, Cediranib (AZD2171) MD, USA). Eight nanograms of total RNA, from the same samples that were used for the microarray study, were reverse transcribed to cDNA using an RT2 First Strand Kit (SABiosciences, Frederick, MD, USA). cDNA was mixed with the RT2 qPCR Master Mixes and aliquoted into 96-well plates containing primers for 84 pathway specific genes. Expression levels

were evaluated using a CFX96 real-time Detection System (BioRad, Philidelphia, PA, USA). Relative gene expression was normalized to the Gapdh housekeeping gene, which remained unaffected under experimental conditions. Fold changes and statistical significance (student’s t-test) were calculated using the REST method for statistical significance ( Pfaffl et al., 2002). For the LDH assay, a sharp increase in toxicity was observed for MSC exposures above 6 μg/ml. The response remained high (approx. 375% of control) for all subsequent concentrations. The MSC response was approximately 3 times greater than that observed for TSC, which showed a gradual increase in toxicity between 3 and 30 μg/ml and high toxicity (above 200% of control) above 30 μg/ml. For the XTT assay, exposure to MSC concentrations greater than 6 μg/ml reduced mitochondrial dehydrogenase levels to below 80% of control values. In comparison, similar reductions required TSC concentrations above 30 μg/ml TSC. For the microarray study, FE1 cells were exposed to 2.5, 5 and10 μg/ml of MSC and 25, 50 and 90 μg/ml of TSC.